A Cyber-Physical System Approach for Predictive Maintenance
Koonlachat Meesublak, Tosapol Klinsukont
Abstract
Cyber-Physical System (CPS) is considered as one of the main enablers for Industry 4.0. CPS technology integrates knowledge from multiple domains, and bridges the gap between the Physical and the Cyber worlds. Predictive Maintenance (PdM), a crucial application within Industry 4.0, can take a CPS-based approach with intelligent operations to minimize machine downtimes and associated costs. This paper discusses challenges of PdM implementation and evaluates performance of the Convolutional Neural Network (CNN) algorithm in fault diagnosis of a PdM system.
Topics & Concepts
Cyber-physical systemComputer sciencePredictive maintenanceReliability engineeringEngineeringOperating systemFault Detection and Control SystemsDigital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems